4.3 Article

Evaluation of extraction and purification methods for obtaining PCR-amplifiable DNA from compost for microbial community analysis

Journal

JOURNAL OF MICROBIOLOGICAL METHODS
Volume 49, Issue 3, Pages 255-264

Publisher

ELSEVIER
DOI: 10.1016/S0167-7012(01)00377-3

Keywords

compost; DNA extraction; environmental; humic; PCR; RFLP

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Analysis of microbial community structure in complex environmental samples using nucleic acid techniques requires efficient unbiased DNA extraction procedures; however, humic acids and other contaminants complicate the isolation of PCR-amplifiable DNA from compost and other organic-rich samples, In this study, combinations of DNA extraction and purification methods were compared based on DNA yield, humic acid contamination, PCR amplifiability, and microbial community structure assessed by terminal restriction fragment length polymorphisms (TRFLP) of amplified 16S rRNA genes. DNA yield and humic acid contamination, determined by A(230), varied significantly between extraction methods. Humic acid contamination of DNA obtained from compost decreased with increasing salt concentration in the lysis buffer. DNA purified by gel permeation chromatography (Sepharose 413 columns) gave satisfactory PCR amplification with universal eubacterial 16S rRNA gene primers only when A(260)/A(280) ratios exceeded 1.5. DNA purified with affinity chromatography (hydroxyapatite columns), and showing A(260)/A(280) ratios as high as 1.8, did not show consistently satisfactory PCR amplification using the same 16S rRNA primers. Almost all DNA samples purified by agarose gel electrophoresis showed satisfactory PCR amplification. Principal components analysis (PCA) of TRFLP patterns differentiated compost types based on the presence/absence of peaks and on the height of the peaks, but differences in TRFLP patterns were not appreciable between extraction methods that yielded relatively pure DNA. High levels of humic acid contamination in extracted DNA resulted in TRFLP patterns that were not consistent and introduced a bias towards lower estimates of diversity. (C) 2002 Elsevier Science B.V. All rights reserved.

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